Researchers at the Indiana University School of Medicine, Eskenazi Health, Regenstrief Institute and other partners have demonstrated the feasibility of conducting dementia prevention trials among older adults with limited formal education, a group at heightened risk for Alzheimer’s disease and related dementias.

The MINDSpeed trial, a randomized study, tested whether a diet rich in polyphenols, which are plant-based compounds found in foods like nuts and berries, and online speed-of-processing cognitive training could improve cognition in older adults with 12 or fewer years of education.

This paper introduces a novel methodology for analysing and optimising the matching process between angel investors and startup companies by integrating artificial intelligence (AI) and game-theoretic models. Leveraging the natural language processing capabilities of AI engines such as Gemini and ChatGPT 4, we extract and analyse historical investment patterns to identify critical qualitative and quantitative criteria influencing investment decisions. These criteria are further refined through R programming simulations, optimising cutoff values using the Youden index to balance sensitivity and specificity in predicting successful matches. Our findings demonstrate the effectiveness of a hybrid framework that combines qualitative preferences with quantitative metrics, offering a comprehensive tool for enhancing strategic investment decisions. This study represents the first attempt to apply AI technologies systematically to the investor-startup matching process, contributing practical insights for investors, entrepreneurs, and intermediaries in navigating the early-stage investment landscape. The proposed approach not only improves matching efficiency but also supports the creation of stronger, more aligned partnerships within the entrepreneurial ecosystem.